Apprentissage automatique · GitHub

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

An open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group

• Transformer (Vaswani et al., 2017)
• Multi-GPU training & decoding

An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

My Machine Learning blog

official implementation for the paper "Simplifying Graph Convolutional Networks"

Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Pytorch implementation of Hinton's Dynamic Routing Between Capsules

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

An open-source guide to Python for AI and Machine Learning

Set of vectorizers that extract keyphrases with part-of-speech patterns from a collection of text documents and convert them into a document-keyphrase matrix.

coursera吴恩达机器学习课程作业自写Python版本+Matlab原版

A polyhedral compiler for expressing fast and portable data parallel algorithms

DenseNet implementation in Keras